Overview

Dataset statistics

Number of variables17
Number of observations26791
Missing cells8399
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory144.0 B

Variable types

Numeric5
Text6
Categorical5
DateTime1

Alerts

City is highly overall correlated with StateHigh correlation
Latitude is highly overall correlated with StateHigh correlation
Longitude is highly overall correlated with StateHigh correlation
State is highly overall correlated with City and 2 other fieldsHigh correlation
City is highly imbalanced (99.0%)Imbalance
State is highly imbalanced (99.9%)Imbalance
Inspection Type is highly imbalanced (56.3%)Imbalance
Facility Type has 521 (1.9%) missing valuesMissing
Violations has 7326 (27.3%) missing valuesMissing
Zip is highly skewed (γ1 = -148.0488498)Skewed
Inspection ID has unique valuesUnique

Reproduction

Analysis started2024-02-23 19:30:49.951952
Analysis finished2024-02-23 19:31:09.459405
Duration19.51 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Inspection ID
Real number (ℝ)

UNIQUE 

Distinct26791
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1731489.2
Minimum44248
Maximum2589795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size418.6 KiB
2024-02-23T19:31:09.591618image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum44248
5-th percentile317254.5
Q11313273
median1951244
Q32356755
95-th percentile2575594
Maximum2589795
Range2545547
Interquartile range (IQR)1043482

Descriptive statistics

Standard deviation718169.71
Coefficient of variation (CV)0.41476997
Kurtosis-0.63362762
Mean1731489.2
Median Absolute Deviation (MAD)546661
Skewness-0.6345022
Sum4.6388326 × 1010
Variance5.1576774 × 1011
MonotonicityNot monotonic
2024-02-23T19:31:09.821119image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2486228 1
 
< 0.1%
1194293 1
 
< 0.1%
2587760 1
 
< 0.1%
1588884 1
 
< 0.1%
1459689 1
 
< 0.1%
2561697 1
 
< 0.1%
2534412 1
 
< 0.1%
1561292 1
 
< 0.1%
545602 1
 
< 0.1%
2300876 1
 
< 0.1%
Other values (26781) 26781
> 99.9%
ValueCountFrequency (%)
44248 1
< 0.1%
44251 1
< 0.1%
44261 1
< 0.1%
48226 1
< 0.1%
48229 1
< 0.1%
52258 1
< 0.1%
54223 1
< 0.1%
54230 1
< 0.1%
54240 1
< 0.1%
54246 1
< 0.1%
ValueCountFrequency (%)
2589795 1
< 0.1%
2589786 1
< 0.1%
2589762 1
< 0.1%
2589754 1
< 0.1%
2589743 1
< 0.1%
2589726 1
< 0.1%
2589725 1
< 0.1%
2589717 1
< 0.1%
2589711 1
< 0.1%
2589710 1
< 0.1%
Distinct14152
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size418.6 KiB
2024-02-23T19:31:10.269172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length79
Median length47
Mean length18.697958
Min length2

Characters and Unicode

Total characters500937
Distinct characters81
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8136 ?
Unique (%)30.4%

Sample

1st rowKIDS ARE US LEARNING ACADEMY INC.
2nd rowDUNKIN DONUTS
3rd rowMINI PALAPITA INC.
4th row2015 SEE THRU CHINESE KITCHEN
5th rowCAFE CON LECHE D' NOCHE
ValueCountFrequency (%)
2698
 
3.3%
inc 2678
 
3.3%
restaurant 1500
 
1.8%
food 1143
 
1.4%
the 1087
 
1.3%
cafe 880
 
1.1%
chicago 755
 
0.9%
grill 747
 
0.9%
school 662
 
0.8%
pizza 654
 
0.8%
Other values (10859) 68392
84.2%
2024-02-23T19:31:11.172875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54922
 
11.0%
A 41480
 
8.3%
E 40976
 
8.2%
R 30386
 
6.1%
I 28872
 
5.8%
O 28717
 
5.7%
N 27744
 
5.5%
S 27528
 
5.5%
T 24552
 
4.9%
C 23231
 
4.6%
Other values (71) 172529
34.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 405253
80.9%
Space Separator 54922
 
11.0%
Lowercase Letter 18968
 
3.8%
Other Punctuation 12907
 
2.6%
Decimal Number 7578
 
1.5%
Dash Punctuation 951
 
0.2%
Open Punctuation 154
 
< 0.1%
Close Punctuation 154
 
< 0.1%
Math Symbol 43
 
< 0.1%
Currency Symbol 4
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 41480
 
10.2%
E 40976
 
10.1%
R 30386
 
7.5%
I 28872
 
7.1%
O 28717
 
7.1%
N 27744
 
6.8%
S 27528
 
6.8%
T 24552
 
6.1%
C 23231
 
5.7%
L 21310
 
5.3%
Other values (16) 110457
27.3%
Lowercase Letter
ValueCountFrequency (%)
e 2354
12.4%
a 2115
11.2%
o 1592
 
8.4%
n 1560
 
8.2%
r 1470
 
7.7%
i 1290
 
6.8%
l 1160
 
6.1%
t 1129
 
6.0%
s 1052
 
5.5%
c 795
 
4.2%
Other values (16) 4451
23.5%
Other Punctuation
ValueCountFrequency (%)
' 4205
32.6%
. 2500
19.4%
& 2228
17.3%
, 1736
13.5%
# 1548
 
12.0%
/ 541
 
4.2%
@ 96
 
0.7%
! 39
 
0.3%
: 8
 
0.1%
? 4
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 1166
15.4%
2 1126
14.9%
3 1014
13.4%
7 799
10.5%
5 731
9.6%
0 660
8.7%
4 652
8.6%
8 501
6.6%
6 498
6.6%
9 431
 
5.7%
Space Separator
ValueCountFrequency (%)
54922
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 951
100.0%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Math Symbol
ValueCountFrequency (%)
+ 43
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 424221
84.7%
Common 76716
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 41480
 
9.8%
E 40976
 
9.7%
R 30386
 
7.2%
I 28872
 
6.8%
O 28717
 
6.8%
N 27744
 
6.5%
S 27528
 
6.5%
T 24552
 
5.8%
C 23231
 
5.5%
L 21310
 
5.0%
Other values (42) 129425
30.5%
Common
ValueCountFrequency (%)
54922
71.6%
' 4205
 
5.5%
. 2500
 
3.3%
& 2228
 
2.9%
, 1736
 
2.3%
# 1548
 
2.0%
1 1166
 
1.5%
2 1126
 
1.5%
3 1014
 
1.3%
- 951
 
1.2%
Other values (19) 5320
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54922
 
11.0%
A 41480
 
8.3%
E 40976
 
8.2%
R 30386
 
6.1%
I 28872
 
5.8%
O 28717
 
5.7%
N 27744
 
5.5%
S 27528
 
5.5%
T 24552
 
4.9%
C 23231
 
4.6%
Other values (71) 172529
34.4%
Distinct13554
Distinct (%)51.1%
Missing264
Missing (%)1.0%
Memory size418.6 KiB
2024-02-23T19:31:11.661661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length79
Median length47
Mean length17.864025
Min length2

Characters and Unicode

Total characters473879
Distinct characters80
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7692 ?
Unique (%)29.0%

Sample

1st rowKIDS ARE US LEARNING ACADEMY
2nd rowDUNKIN DONUTS
3rd rowMINI PALAPITA
4th row2015 SEE THRU CHINESE KITCHEN
5th rowCAFE CON LECHE & D' NOCHE
ValueCountFrequency (%)
2462
 
3.2%
restaurant 1396
 
1.8%
inc 1227
 
1.6%
food 1132
 
1.5%
the 1045
 
1.4%
cafe 957
 
1.3%
grill 747
 
1.0%
school 714
 
0.9%
pizza 664
 
0.9%
la 646
 
0.8%
Other values (10444) 65550
85.6%
2024-02-23T19:31:12.845162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50583
 
10.7%
A 40336
 
8.5%
E 39711
 
8.4%
R 29124
 
6.1%
O 27468
 
5.8%
S 26758
 
5.6%
I 26355
 
5.6%
N 25388
 
5.4%
T 23665
 
5.0%
C 20631
 
4.4%
Other values (70) 163860
34.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 387549
81.8%
Space Separator 50583
 
10.7%
Lowercase Letter 18073
 
3.8%
Other Punctuation 10614
 
2.2%
Decimal Number 5167
 
1.1%
Dash Punctuation 907
 
0.2%
Open Punctuation 471
 
0.1%
Close Punctuation 470
 
0.1%
Math Symbol 40
 
< 0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 40336
 
10.4%
E 39711
 
10.2%
R 29124
 
7.5%
O 27468
 
7.1%
S 26758
 
6.9%
I 26355
 
6.8%
N 25388
 
6.6%
T 23665
 
6.1%
C 20631
 
5.3%
L 20067
 
5.2%
Other values (16) 108046
27.9%
Lowercase Letter
ValueCountFrequency (%)
e 2292
12.7%
a 2013
11.1%
o 1498
 
8.3%
n 1460
 
8.1%
r 1365
 
7.6%
i 1214
 
6.7%
l 1165
 
6.4%
t 1058
 
5.9%
s 924
 
5.1%
c 767
 
4.2%
Other values (16) 4317
23.9%
Other Punctuation
ValueCountFrequency (%)
' 4309
40.6%
& 2126
20.0%
. 1502
 
14.2%
# 902
 
8.5%
/ 841
 
7.9%
, 827
 
7.8%
@ 59
 
0.6%
! 34
 
0.3%
: 6
 
0.1%
? 4
 
< 0.1%
Other values (2) 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 919
17.8%
2 774
15.0%
3 715
13.8%
7 577
11.2%
5 482
9.3%
4 464
9.0%
0 432
8.4%
6 295
 
5.7%
8 281
 
5.4%
9 228
 
4.4%
Space Separator
ValueCountFrequency (%)
50583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 907
100.0%
Open Punctuation
ValueCountFrequency (%)
( 471
100.0%
Close Punctuation
ValueCountFrequency (%)
) 470
100.0%
Math Symbol
ValueCountFrequency (%)
+ 40
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 405622
85.6%
Common 68257
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 40336
 
9.9%
E 39711
 
9.8%
R 29124
 
7.2%
O 27468
 
6.8%
S 26758
 
6.6%
I 26355
 
6.5%
N 25388
 
6.3%
T 23665
 
5.8%
C 20631
 
5.1%
L 20067
 
4.9%
Other values (42) 126119
31.1%
Common
ValueCountFrequency (%)
50583
74.1%
' 4309
 
6.3%
& 2126
 
3.1%
. 1502
 
2.2%
1 919
 
1.3%
- 907
 
1.3%
# 902
 
1.3%
/ 841
 
1.2%
, 827
 
1.2%
2 774
 
1.1%
Other values (18) 4567
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473879
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50583
 
10.7%
A 40336
 
8.5%
E 39711
 
8.4%
R 29124
 
6.1%
O 27468
 
5.8%
S 26758
 
5.6%
I 26355
 
5.6%
N 25388
 
5.4%
T 23665
 
5.0%
C 20631
 
4.4%
Other values (70) 163860
34.6%

License #
Real number (ℝ)

Distinct16705
Distinct (%)62.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1714767.9
Minimum0
Maximum4074376
Zeros66
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size418.6 KiB
2024-02-23T19:31:13.067799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17267.3
Q11333894
median2048578
Q32368811
95-th percentile2762681.7
Maximum4074376
Range4074376
Interquartile range (IQR)1034917

Descriptive statistics

Standard deviation932209.44
Coefficient of variation (CV)0.54363594
Kurtosis-0.52748308
Mean1714767.9
Median Absolute Deviation (MAD)421274
Skewness-0.89381589
Sum4.5935201 × 1010
Variance8.6901444 × 1011
MonotonicityNot monotonic
2024-02-23T19:31:13.269134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66
 
0.2%
1354323 22
 
0.1%
14616 22
 
0.1%
1490035 13
 
< 0.1%
60184 10
 
< 0.1%
1142451 9
 
< 0.1%
1094 9
 
< 0.1%
22811 8
 
< 0.1%
1884255 8
 
< 0.1%
1042888 8
 
< 0.1%
Other values (16695) 26613
99.3%
ValueCountFrequency (%)
0 66
0.2%
2 1
 
< 0.1%
9 3
 
< 0.1%
40 2
 
< 0.1%
99 1
 
< 0.1%
115 1
 
< 0.1%
149 2
 
< 0.1%
158 1
 
< 0.1%
164 3
 
< 0.1%
207 1
 
< 0.1%
ValueCountFrequency (%)
4074376 1
< 0.1%
4067292 1
< 0.1%
4053640 1
< 0.1%
4025895 1
< 0.1%
3930636 1
< 0.1%
3910575 1
< 0.1%
3910452 1
< 0.1%
3868956 1
< 0.1%
3846266 1
< 0.1%
3846211 2
< 0.1%

Facility Type
Text

MISSING 

Distinct235
Distinct (%)0.9%
Missing521
Missing (%)1.9%
Memory size418.6 KiB
2024-02-23T19:31:13.622983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length47
Median length10
Mean length11.081462
Min length3

Characters and Unicode

Total characters291110
Distinct characters68
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)0.4%

Sample

1st rowDaycare Above and Under 2 Years
2nd rowRestaurant
3rd rowRestaurant
4th rowRestaurant
5th rowRestaurant
ValueCountFrequency (%)
restaurant 17887
50.2%
store 3432
 
9.6%
grocery 3413
 
9.6%
school 1783
 
5.0%
daycare 789
 
2.2%
2 703
 
2.0%
years 703
 
2.0%
facility 545
 
1.5%
services 540
 
1.5%
children's 534
 
1.5%
Other values (248) 5311
 
14.9%
2024-02-23T19:31:14.174673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 40162
13.8%
a 40078
13.8%
r 32857
11.3%
e 30808
10.6%
s 20154
6.9%
n 19965
6.9%
R 18407
 
6.3%
u 18028
 
6.2%
o 12108
 
4.2%
9371
 
3.2%
Other values (58) 49172
16.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 240289
82.5%
Uppercase Letter 38250
 
13.1%
Space Separator 9371
 
3.2%
Decimal Number 1392
 
0.5%
Other Punctuation 619
 
0.2%
Open Punctuation 412
 
0.1%
Close Punctuation 412
 
0.1%
Dash Punctuation 364
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 18407
48.1%
S 6154
 
16.1%
G 3606
 
9.4%
C 1236
 
3.2%
D 1061
 
2.8%
F 853
 
2.2%
A 846
 
2.2%
Y 814
 
2.1%
T 719
 
1.9%
U 587
 
1.5%
Other values (15) 3967
 
10.4%
Lowercase Letter
ValueCountFrequency (%)
t 40162
16.7%
a 40078
16.7%
r 32857
13.7%
e 30808
12.8%
s 20154
8.4%
n 19965
8.3%
u 18028
7.5%
o 12108
 
5.0%
c 7088
 
2.9%
y 5142
 
2.1%
Other values (14) 13899
 
5.8%
Decimal Number
ValueCountFrequency (%)
2 714
51.3%
6 412
29.6%
1 89
 
6.4%
5 79
 
5.7%
8 75
 
5.4%
0 12
 
0.9%
3 6
 
0.4%
4 4
 
0.3%
7 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
' 540
87.2%
/ 72
 
11.6%
. 3
 
0.5%
& 2
 
0.3%
, 2
 
0.3%
Space Separator
ValueCountFrequency (%)
9371
100.0%
Open Punctuation
ValueCountFrequency (%)
( 412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 278539
95.7%
Common 12571
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 40162
14.4%
a 40078
14.4%
r 32857
11.8%
e 30808
11.1%
s 20154
7.2%
n 19965
7.2%
R 18407
6.6%
u 18028
6.5%
o 12108
 
4.3%
c 7088
 
2.5%
Other values (39) 38884
14.0%
Common
ValueCountFrequency (%)
9371
74.5%
2 714
 
5.7%
' 540
 
4.3%
( 412
 
3.3%
6 412
 
3.3%
) 412
 
3.3%
- 364
 
2.9%
1 89
 
0.7%
5 79
 
0.6%
8 75
 
0.6%
Other values (9) 103
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 40162
13.8%
a 40078
13.8%
r 32857
11.3%
e 30808
10.6%
s 20154
6.9%
n 19965
6.9%
R 18407
 
6.3%
u 18028
 
6.2%
o 12108
 
4.2%
9371
 
3.2%
Other values (58) 49172
16.9%

Risk
Categorical

Distinct4
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size418.6 KiB
Risk 1 (High)
19546 
Risk 2 (Medium)
5051 
Risk 3 (Low)
2182 
All
 
1

Length

Max length15
Median length13
Mean length13.29537
Min length3

Characters and Unicode

Total characters356050
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowRisk 1 (High)
2nd rowRisk 2 (Medium)
3rd rowRisk 1 (High)
4th rowRisk 1 (High)
5th rowRisk 1 (High)

Common Values

ValueCountFrequency (%)
Risk 1 (High) 19546
73.0%
Risk 2 (Medium) 5051
 
18.9%
Risk 3 (Low) 2182
 
8.1%
All 1
 
< 0.1%
(Missing) 11
 
< 0.1%

Length

2024-02-23T19:31:14.360493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-23T19:31:14.547813image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
risk 26779
33.3%
1 19546
24.3%
high 19546
24.3%
2 5051
 
6.3%
medium 5051
 
6.3%
3 2182
 
2.7%
low 2182
 
2.7%
all 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
53558
15.0%
i 51376
14.4%
R 26779
7.5%
s 26779
7.5%
k 26779
7.5%
( 26779
7.5%
) 26779
7.5%
1 19546
 
5.5%
H 19546
 
5.5%
g 19546
 
5.5%
Other values (13) 58583
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 168596
47.4%
Uppercase Letter 53559
 
15.0%
Space Separator 53558
 
15.0%
Open Punctuation 26779
 
7.5%
Close Punctuation 26779
 
7.5%
Decimal Number 26779
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 51376
30.5%
s 26779
15.9%
k 26779
15.9%
g 19546
 
11.6%
h 19546
 
11.6%
d 5051
 
3.0%
m 5051
 
3.0%
u 5051
 
3.0%
e 5051
 
3.0%
o 2182
 
1.3%
Other values (2) 2184
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
R 26779
50.0%
H 19546
36.5%
M 5051
 
9.4%
L 2182
 
4.1%
A 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 19546
73.0%
2 5051
 
18.9%
3 2182
 
8.1%
Space Separator
ValueCountFrequency (%)
53558
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26779
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26779
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 222155
62.4%
Common 133895
37.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 51376
23.1%
R 26779
12.1%
s 26779
12.1%
k 26779
12.1%
H 19546
 
8.8%
g 19546
 
8.8%
h 19546
 
8.8%
d 5051
 
2.3%
m 5051
 
2.3%
u 5051
 
2.3%
Other values (7) 16651
 
7.5%
Common
ValueCountFrequency (%)
53558
40.0%
( 26779
20.0%
) 26779
20.0%
1 19546
 
14.6%
2 5051
 
3.8%
3 2182
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 356050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53558
15.0%
i 51376
14.4%
R 26779
7.5%
s 26779
7.5%
k 26779
7.5%
( 26779
7.5%
) 26779
7.5%
1 19546
 
5.5%
H 19546
 
5.5%
g 19546
 
5.5%
Other values (13) 58583
16.5%
Distinct11853
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size418.6 KiB
2024-02-23T19:31:14.889817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length52
Median length37
Mean length18.626516
Min length10

Characters and Unicode

Total characters499023
Distinct characters69
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5116 ?
Unique (%)19.1%

Sample

1st row7457 S BENNETT AVE
2nd row333 S STATE ST
3rd row4968 N ELSTON AVE
4th row609 E 79TH ST
5th row2710-2714 N MILWAUKEE AVE
ValueCountFrequency (%)
ave 12443
 
11.5%
w 10704
 
9.9%
st 9816
 
9.0%
n 7993
 
7.4%
s 5920
 
5.4%
e 2158
 
2.0%
rd 1497
 
1.4%
clark 980
 
0.9%
halsted 734
 
0.7%
western 686
 
0.6%
Other values (6728) 55729
51.3%
2024-02-23T19:31:15.448748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108703
21.8%
E 30449
 
6.1%
A 28787
 
5.8%
S 24572
 
4.9%
N 20836
 
4.2%
T 20640
 
4.1%
1 20389
 
4.1%
0 16446
 
3.3%
R 15752
 
3.2%
W 15523
 
3.1%
Other values (59) 196926
39.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 256830
51.5%
Decimal Number 120636
24.2%
Space Separator 108703
21.8%
Lowercase Letter 8943
 
1.8%
Dash Punctuation 2686
 
0.5%
Open Punctuation 549
 
0.1%
Close Punctuation 549
 
0.1%
Other Punctuation 126
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 30449
11.9%
A 28787
11.2%
S 24572
 
9.6%
N 20836
 
8.1%
T 20640
 
8.0%
R 15752
 
6.1%
W 15523
 
6.0%
V 14963
 
5.8%
L 12369
 
4.8%
O 11090
 
4.3%
Other values (16) 61849
24.1%
Lowercase Letter
ValueCountFrequency (%)
a 1003
11.2%
e 956
10.7%
r 798
8.9%
t 789
8.8%
n 781
8.7%
o 663
 
7.4%
l 654
 
7.3%
i 643
 
7.2%
h 402
 
4.5%
s 349
 
3.9%
Other values (14) 1905
21.3%
Decimal Number
ValueCountFrequency (%)
1 20389
16.9%
0 16446
13.6%
2 14753
12.2%
3 14749
12.2%
5 13982
11.6%
4 12148
10.1%
6 8849
7.3%
7 7399
 
6.1%
9 6085
 
5.0%
8 5836
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 81
64.3%
. 34
27.0%
& 8
 
6.3%
' 3
 
2.4%
Space Separator
ValueCountFrequency (%)
108703
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2686
100.0%
Open Punctuation
ValueCountFrequency (%)
( 549
100.0%
Close Punctuation
ValueCountFrequency (%)
) 549
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 265773
53.3%
Common 233250
46.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 30449
11.5%
A 28787
10.8%
S 24572
 
9.2%
N 20836
 
7.8%
T 20640
 
7.8%
R 15752
 
5.9%
W 15523
 
5.8%
V 14963
 
5.6%
L 12369
 
4.7%
O 11090
 
4.2%
Other values (40) 70792
26.6%
Common
ValueCountFrequency (%)
108703
46.6%
1 20389
 
8.7%
0 16446
 
7.1%
2 14753
 
6.3%
3 14749
 
6.3%
5 13982
 
6.0%
4 12148
 
5.2%
6 8849
 
3.8%
7 7399
 
3.2%
9 6085
 
2.6%
Other values (9) 9747
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 499023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108703
21.8%
E 30449
 
6.1%
A 28787
 
5.8%
S 24572
 
4.9%
N 20836
 
4.2%
T 20640
 
4.1%
1 20389
 
4.1%
0 16446
 
3.3%
R 15752
 
3.2%
W 15523
 
3.1%
Other values (59) 196926
39.5%

City
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct32
Distinct (%)0.1%
Missing10
Missing (%)< 0.1%
Memory size418.6 KiB
CHICAGO
26676 
Chicago
 
47
chicago
 
15
ELK GROVE VILLAGE
 
4
MAYWOOD
 
4
Other values (27)
 
35

Length

Max length19
Median length7
Mean length7.0040327
Min length5

Characters and Unicode

Total characters187575
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.1%

Sample

1st rowCHICAGO
2nd rowCHICAGO
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO

Common Values

ValueCountFrequency (%)
CHICAGO 26676
99.6%
Chicago 47
 
0.2%
chicago 15
 
0.1%
ELK GROVE VILLAGE 4
 
< 0.1%
MAYWOOD 4
 
< 0.1%
CHicago 4
 
< 0.1%
CHICAGOO 3
 
< 0.1%
INACTIVE 2
 
< 0.1%
SCHAUMBURG 2
 
< 0.1%
CCHICAGO 2
 
< 0.1%
Other values (22) 22
 
0.1%
(Missing) 10
 
< 0.1%

Length

2024-02-23T19:31:15.660378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
chicago 26742
99.8%
grove 5
 
< 0.1%
village 4
 
< 0.1%
maywood 4
 
< 0.1%
elk 4
 
< 0.1%
chicagoo 3
 
< 0.1%
park 3
 
< 0.1%
niles 2
 
< 0.1%
inactive 2
 
< 0.1%
schaumburg 2
 
< 0.1%
Other values (24) 25
 
0.1%

Most occurring characters

ValueCountFrequency (%)
C 53430
28.5%
O 26713
14.2%
A 26707
14.2%
I 26705
14.2%
G 26697
14.2%
H 26692
14.2%
c 83
 
< 0.1%
i 69
 
< 0.1%
a 68
 
< 0.1%
g 68
 
< 0.1%
Other values (25) 343
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 187134
99.8%
Lowercase Letter 426
 
0.2%
Space Separator 15
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 53430
28.6%
O 26713
14.3%
A 26707
14.3%
I 26705
14.3%
G 26697
14.3%
H 26692
14.3%
E 31
 
< 0.1%
L 24
 
< 0.1%
R 21
 
< 0.1%
N 16
 
< 0.1%
Other values (12) 98
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 83
19.5%
i 69
16.2%
a 68
16.0%
g 68
16.0%
o 68
16.0%
h 63
14.8%
r 2
 
0.5%
d 1
 
0.2%
e 1
 
0.2%
l 1
 
0.2%
Other values (2) 2
 
0.5%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 187560
> 99.9%
Common 15
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 53430
28.5%
O 26713
14.2%
A 26707
14.2%
I 26705
14.2%
G 26697
14.2%
H 26692
14.2%
c 83
 
< 0.1%
i 69
 
< 0.1%
a 68
 
< 0.1%
g 68
 
< 0.1%
Other values (24) 328
 
0.2%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 53430
28.5%
O 26713
14.2%
A 26707
14.2%
I 26705
14.2%
G 26697
14.2%
H 26692
14.2%
c 83
 
< 0.1%
i 69
 
< 0.1%
a 68
 
< 0.1%
g 68
 
< 0.1%
Other values (25) 343
 
0.2%

State
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Memory size418.6 KiB
IL
26784 
IN
 
1
NY
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters53572
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL

Common Values

ValueCountFrequency (%)
IL 26784
> 99.9%
IN 1
 
< 0.1%
NY 1
 
< 0.1%
(Missing) 5
 
< 0.1%

Length

2024-02-23T19:31:15.845922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-23T19:31:16.009301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
il 26784
> 99.9%
in 1
 
< 0.1%
ny 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
I 26785
50.0%
L 26784
50.0%
N 2
 
< 0.1%
Y 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 53572
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 26785
50.0%
L 26784
50.0%
N 2
 
< 0.1%
Y 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 53572
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 26785
50.0%
L 26784
50.0%
N 2
 
< 0.1%
Y 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 26785
50.0%
L 26784
50.0%
N 2
 
< 0.1%
Y 1
 
< 0.1%

Zip
Real number (ℝ)

SKEWED 

Distinct80
Distinct (%)0.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60626.805
Minimum10014
Maximum60827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size418.6 KiB
2024-02-23T19:31:16.157371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10014
5-th percentile60605
Q160614
median60625
Q360643
95-th percentile60659
Maximum60827
Range50813
Interquartile range (IQR)29

Descriptive statistics

Standard deviation322.11379
Coefficient of variation (CV)0.005313059
Kurtosis22899.829
Mean60626.805
Median Absolute Deviation (MAD)14
Skewness-148.04885
Sum1.6240102 × 109
Variance103757.29
MonotonicityNot monotonic
2024-02-23T19:31:16.359091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60614 992
 
3.7%
60647 976
 
3.6%
60657 933
 
3.5%
60622 859
 
3.2%
60611 853
 
3.2%
60608 847
 
3.2%
60618 805
 
3.0%
60639 772
 
2.9%
60625 764
 
2.9%
60607 718
 
2.7%
Other values (70) 18268
68.2%
ValueCountFrequency (%)
10014 1
 
< 0.1%
46410 1
 
< 0.1%
60007 4
< 0.1%
60018 1
 
< 0.1%
60035 1
 
< 0.1%
60053 1
 
< 0.1%
60077 1
 
< 0.1%
60108 1
 
< 0.1%
60153 4
< 0.1%
60193 2
< 0.1%
ValueCountFrequency (%)
60827 31
 
0.1%
60804 1
 
< 0.1%
60714 1
 
< 0.1%
60707 160
 
0.6%
60706 2
 
< 0.1%
60666 335
 
1.3%
60661 366
 
1.4%
60660 395
1.5%
60659 580
2.2%
60657 933
3.5%
Distinct3428
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size418.6 KiB
Minimum2010-01-05 00:00:00
Maximum2024-02-20 00:00:00
2024-02-23T19:31:16.561104image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:16.761428image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Type
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size418.6 KiB
Canvass
13877 
License
3591 
Canvass Re-Inspection
2953 
Complaint
2548 
License Re-Inspection
 
1196
Other values (35)
2626 

Length

Max length38
Median length7
Mean length10.657124
Min length7

Characters and Unicode

Total characters285515
Distinct characters55
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.1%

Sample

1st rowCanvass
2nd rowComplaint
3rd rowComplaint Re-Inspection
4th rowComplaint Re-Inspection
5th rowTask Force Liquor 1475

Common Values

ValueCountFrequency (%)
Canvass 13877
51.8%
License 3591
 
13.4%
Canvass Re-Inspection 2953
 
11.0%
Complaint 2548
 
9.5%
License Re-Inspection 1196
 
4.5%
Complaint Re-Inspection 1050
 
3.9%
Short Form Complaint 839
 
3.1%
Non-Inspection 274
 
1.0%
Suspected Food Poisoning 90
 
0.3%
Consultation 69
 
0.3%
Other values (30) 304
 
1.1%

Length

2024-02-23T19:31:16.957507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
canvass 16831
49.1%
re-inspection 5226
 
15.2%
license 4790
 
14.0%
complaint 4438
 
12.9%
short 855
 
2.5%
form 855
 
2.5%
non-inspection 274
 
0.8%
suspected 113
 
0.3%
food 113
 
0.3%
poisoning 113
 
0.3%
Other values (47) 680
 
2.0%

Most occurring characters

ValueCountFrequency (%)
s 44508
15.6%
a 38446
13.5%
n 37915
13.3%
C 21390
 
7.5%
e 20964
 
7.3%
v 16913
 
5.9%
i 15278
 
5.4%
o 12798
 
4.5%
t 11194
 
3.9%
c 10604
 
3.7%
Other values (45) 55505
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 232329
81.4%
Uppercase Letter 39956
 
14.0%
Space Separator 7497
 
2.6%
Dash Punctuation 5593
 
2.0%
Decimal Number 124
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 21390
53.5%
I 5516
 
13.8%
R 5336
 
13.4%
L 4877
 
12.2%
F 1103
 
2.8%
S 996
 
2.5%
N 303
 
0.8%
T 164
 
0.4%
P 121
 
0.3%
E 42
 
0.1%
Other values (12) 108
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 44508
19.2%
a 38446
16.5%
n 37915
16.3%
e 20964
9.0%
v 16913
 
7.3%
i 15278
 
6.6%
o 12798
 
5.5%
t 11194
 
4.8%
c 10604
 
4.6%
p 10126
 
4.4%
Other values (11) 13583
 
5.8%
Decimal Number
ValueCountFrequency (%)
4 33
26.6%
1 31
25.0%
7 30
24.2%
5 27
21.8%
0 1
 
0.8%
8 1
 
0.8%
6 1
 
0.8%
Space Separator
ValueCountFrequency (%)
7497
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5593
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 272285
95.4%
Common 13230
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 44508
16.3%
a 38446
14.1%
n 37915
13.9%
C 21390
7.9%
e 20964
7.7%
v 16913
 
6.2%
i 15278
 
5.6%
o 12798
 
4.7%
t 11194
 
4.1%
c 10604
 
3.9%
Other values (33) 42275
15.5%
Common
ValueCountFrequency (%)
7497
56.7%
- 5593
42.3%
4 33
 
0.2%
1 31
 
0.2%
7 30
 
0.2%
5 27
 
0.2%
( 7
 
0.1%
) 7
 
0.1%
/ 2
 
< 0.1%
0 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 285515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 44508
15.6%
a 38446
13.5%
n 37915
13.3%
C 21390
 
7.5%
e 20964
 
7.3%
v 16913
 
5.9%
i 15278
 
5.4%
o 12798
 
4.5%
t 11194
 
3.9%
c 10604
 
3.7%
Other values (45) 55505
19.4%

Results
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size418.6 KiB
Pass
13767 
Fail
5284 
Pass w/ Conditions
4105 
Out of Business
2235 
No Entry
 
1067
Other values (2)
 
333

Length

Max length20
Median length4
Mean length7.2895749
Min length4

Characters and Unicode

Total characters195295
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPass w/ Conditions
2nd rowPass
3rd rowPass w/ Conditions
4th rowPass
5th rowPass

Common Values

ValueCountFrequency (%)
Pass 13767
51.4%
Fail 5284
 
19.7%
Pass w/ Conditions 4105
 
15.3%
Out of Business 2235
 
8.3%
No Entry 1067
 
4.0%
Not Ready 320
 
1.2%
Business Not Located 13
 
< 0.1%

Length

2024-02-23T19:31:17.140074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-23T19:31:17.338672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
pass 17872
43.7%
fail 5284
 
12.9%
w 4105
 
10.0%
conditions 4105
 
10.0%
business 2248
 
5.5%
out 2235
 
5.5%
of 2235
 
5.5%
no 1067
 
2.6%
entry 1067
 
2.6%
not 333
 
0.8%
Other values (2) 333
 
0.8%

Most occurring characters

ValueCountFrequency (%)
s 46593
23.9%
a 23489
12.0%
P 17872
 
9.2%
i 15742
 
8.1%
14093
 
7.2%
o 11858
 
6.1%
n 11525
 
5.9%
t 7753
 
4.0%
l 5284
 
2.7%
F 5284
 
2.7%
Other values (16) 35802
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 142553
73.0%
Uppercase Letter 34544
 
17.7%
Space Separator 14093
 
7.2%
Other Punctuation 4105
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 46593
32.7%
a 23489
16.5%
i 15742
 
11.0%
o 11858
 
8.3%
n 11525
 
8.1%
t 7753
 
5.4%
l 5284
 
3.7%
u 4483
 
3.1%
d 4438
 
3.1%
w 4105
 
2.9%
Other values (5) 7283
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
P 17872
51.7%
F 5284
 
15.3%
C 4105
 
11.9%
B 2248
 
6.5%
O 2235
 
6.5%
N 1400
 
4.1%
E 1067
 
3.1%
R 320
 
0.9%
L 13
 
< 0.1%
Space Separator
ValueCountFrequency (%)
14093
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 177097
90.7%
Common 18198
 
9.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 46593
26.3%
a 23489
13.3%
P 17872
 
10.1%
i 15742
 
8.9%
o 11858
 
6.7%
n 11525
 
6.5%
t 7753
 
4.4%
l 5284
 
3.0%
F 5284
 
3.0%
u 4483
 
2.5%
Other values (14) 27214
15.4%
Common
ValueCountFrequency (%)
14093
77.4%
/ 4105
 
22.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 46593
23.9%
a 23489
12.0%
P 17872
 
9.2%
i 15742
 
8.1%
14093
 
7.2%
o 11858
 
6.1%
n 11525
 
5.9%
t 7753
 
4.0%
l 5284
 
2.7%
F 5284
 
2.7%
Other values (16) 35802
18.3%

Violations
Text

MISSING 

Distinct19444
Distinct (%)99.9%
Missing7326
Missing (%)27.3%
Memory size418.6 KiB
2024-02-23T19:31:17.710495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length9573
Median length3213
Mean length1228.9995
Min length30

Characters and Unicode

Total characters23922475
Distinct characters93
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19423 ?
Unique (%)99.8%

Sample

1st row3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: NO COMPLETE EMPLOYEE HEALTH POLICY ON PREMISES AS REQUIRED; MUST PROVIDE AND MAINTAIN THE POLICY WITH THE SIGNATURE OF THE EMPLOYEES. PRIORITY FOUNDATION VIOLATION 7-38-012(A); NO CITATION ISSUED. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: THE WALLS AROUND THE COOKING EQUIPMENT AND SINK IN THE FOOD PREP AREA NEEDS TO BE CLEANED. THE INTERIOR OF THE FLOOR DRAINS NEEDS TO BE CLEANED. INSTUCTED TO CLEAN AND MAINTAIN THE WALLS AND FLOOR DRAINS THROUGHOUT.
2nd row34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. Found floors not swept at front preparation areas. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: Cleaning equipment shall be properly stored away from food, utensils, equipment, and clean linens. Found some cleaning equipment not properly stored.(mop and broom)
3rd row3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: NO EMPLOYEE HEALTH POLICY IN PLACE. INSTRUCTED MANAGER TO PROVIDE DOCUMENTATION THAT ALL FOOD EMPLOYEES ARE INFORMED OF THEIR RESPONSIBILITY TO REPORT ANY DISEASE TRANSMISSIBLE THROUGH FOOD. PRIORITY FOUNDATION VIOLATION 7-38-012A,NO CITATION ISSUED. | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: NO CLEAN UP POLICY FOR VOMITING AND DIARRHEAL EVENTS. INSTRUCTED MANAGER TO PROVIDE. PRIORITY FOUNDATION VIOLATION 7-38-005,NO CITATION ISSUED. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED TORN GASKETS AT THE REAR 2 DOOR STAND-UP COOLER ACROSS FROM THE FOOD PREP TABLE.INSTRUCTED TO REPLACE GASKETS AND MAINTAIN. - | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED USE OF GROCERY STORAGE BAGS TO STORE FOOD(BREAD FOR TORTAS). INSTRUCTED TO USE FOOD GRADE BAGS/CONTAINERS FOR PROPER STORAGE AND MAINTAIN. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: NO ALLERGEN TRAINING/CERTIFICATE AVAILABLE ON SITE.INSTRUCTED TO OBTAIN AND MAINTAIN.PRIORITY FOUNDATION VIOLATION, NO CITATION ISSUED. -
4th row37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: 3-302.12 OBSERVED SALT AND MSG CONTAINERS WITH NO LABEL. INSTRUCTED MANAGER TO LABEL ALL FOOD CONTAINERS WITH COMMON NAME. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: 4-202.16 OBSERVED PLASTIC SHOPPING BAGS BEING USED TO STORE FOOD. INSTRUCTED TO OBTAIN AND USE FOOD GRADE BAGS ONLY FOR STORING FOOD. OBSERVED ALUMINUM FOIL BEING USED AS SHELVING. INSTRUCTED MANAGER TO REMOVE FOIL FROM SHELVING | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-601.11(C) OBSERVED ACCUMULATED FOOD AND GREASE DEBRIS INSIDE OF THE FRYERS AND AROUND THE WOK STATION. INSTRUCTED TO CLEAN AND SANITIZE.
5th row57. ALL FOOD EMPLOYEES HAVE FOOD HANDLER TRAINING - Comments: OBSERVED EMPLOYEES EXPIRED FOOD HANDLER CERTIFICATES. INSTRUCTED TO RENEW FOOD HANDLER CERTIFICATIONS. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED CERTIFIED FOOD MANAGER WITH EXPIRED ALLERGEN CERTIFICATION. INSTRUCTED TO RENEW ALLERGEN CERTIFICATION AND MAINTAIN.
ValueCountFrequency (%)
185720
 
5.2%
and 169278
 
4.7%
comments 90895
 
2.5%
the 83960
 
2.3%
in 76376
 
2.1%
to 71319
 
2.0%
of 65611
 
1.8%
food 63180
 
1.8%
clean 57262
 
1.6%
must 40823
 
1.1%
Other values (42008) 2698831
74.9%
2024-02-23T19:31:18.332300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3662894
15.3%
E 1973383
 
8.2%
N 1377842
 
5.8%
O 1367452
 
5.7%
A 1330994
 
5.6%
T 1294876
 
5.4%
I 1266299
 
5.3%
R 1167781
 
4.9%
S 1061498
 
4.4%
D 932463
 
3.9%
Other values (83) 8486993
35.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 16478049
68.9%
Space Separator 3662894
 
15.3%
Lowercase Letter 2350534
 
9.8%
Other Punctuation 702916
 
2.9%
Decimal Number 420893
 
1.8%
Dash Punctuation 199156
 
0.8%
Math Symbol 69188
 
0.3%
Open Punctuation 18617
 
0.1%
Close Punctuation 18375
 
0.1%
Currency Symbol 1450
 
< 0.1%
Other values (3) 403
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 297983
12.7%
n 233743
9.9%
o 232160
9.9%
t 218952
9.3%
m 211280
9.0%
s 204675
8.7%
a 154019
 
6.6%
l 116573
 
5.0%
i 114645
 
4.9%
r 99292
 
4.2%
Other values (17) 467212
19.9%
Uppercase Letter
ValueCountFrequency (%)
E 1973383
12.0%
N 1377842
 
8.4%
O 1367452
 
8.3%
A 1330994
 
8.1%
T 1294876
 
7.9%
I 1266299
 
7.7%
R 1167781
 
7.1%
S 1061498
 
6.4%
D 932463
 
5.7%
L 771073
 
4.7%
Other values (16) 3934388
23.9%
Other Punctuation
ValueCountFrequency (%)
. 302319
43.0%
, 189800
27.0%
: 138871
19.8%
& 23675
 
3.4%
/ 23550
 
3.4%
; 11572
 
1.6%
# 6040
 
0.9%
' 5192
 
0.7%
* 1478
 
0.2%
@ 254
 
< 0.1%
Other values (4) 165
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 89755
21.3%
0 62180
14.8%
5 51324
12.2%
1 50716
12.0%
4 40144
9.5%
2 39997
9.5%
8 31228
 
7.4%
7 28263
 
6.7%
6 16820
 
4.0%
9 10466
 
2.5%
Math Symbol
ValueCountFrequency (%)
| 69142
99.9%
= 37
 
0.1%
+ 6
 
< 0.1%
> 2
 
< 0.1%
< 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 18587
99.8%
[ 28
 
0.2%
{ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 18351
99.9%
] 24
 
0.1%
Space Separator
ValueCountFrequency (%)
3662894
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 199156
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1450
100.0%
Control
ValueCountFrequency (%)
347
100.0%
Other Number
ValueCountFrequency (%)
½ 54
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18828583
78.7%
Common 5093892
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 1973383
 
10.5%
N 1377842
 
7.3%
O 1367452
 
7.3%
A 1330994
 
7.1%
T 1294876
 
6.9%
I 1266299
 
6.7%
R 1167781
 
6.2%
S 1061498
 
5.6%
D 932463
 
5.0%
L 771073
 
4.1%
Other values (43) 6284922
33.4%
Common
ValueCountFrequency (%)
3662894
71.9%
. 302319
 
5.9%
- 199156
 
3.9%
, 189800
 
3.7%
: 138871
 
2.7%
3 89755
 
1.8%
| 69142
 
1.4%
0 62180
 
1.2%
5 51324
 
1.0%
1 50716
 
1.0%
Other values (30) 277735
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23922313
> 99.9%
None 162
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3662894
15.3%
E 1973383
 
8.2%
N 1377842
 
5.8%
O 1367452
 
5.7%
A 1330994
 
5.6%
T 1294876
 
5.4%
I 1266299
 
5.3%
R 1167781
 
4.9%
S 1061498
 
4.4%
D 932463
 
3.9%
Other values (80) 8486831
35.5%
None
ValueCountFrequency (%)
½ 54
33.3%
¿ 54
33.3%
ï 54
33.3%

Latitude
Real number (ℝ)

HIGH CORRELATION 

Distinct11473
Distinct (%)43.0%
Missing85
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean41.88028
Minimum41.64467
Maximum42.021064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size418.6 KiB
2024-02-23T19:31:18.540706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41.64467
5-th percentile41.726329
Q141.831166
median41.891773
Q341.939253
95-th percentile41.997465
Maximum42.021064
Range0.37639412
Interquartile range (IQR)0.1080865

Descriptive statistics

Standard deviation0.080986453
Coefficient of variation (CV)0.001933761
Kurtosis-0.35744212
Mean41.88028
Median Absolute Deviation (MAD)0.050110517
Skewness-0.58354208
Sum1118454.7
Variance0.0065588055
MonotonicityNot monotonic
2024-02-23T19:31:18.746881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.00875077 329
 
1.2%
41.85045102 68
 
0.3%
41.78932932 66
 
0.2%
41.88199434 61
 
0.2%
41.88418751 59
 
0.2%
41.88743405 48
 
0.2%
41.89209414 42
 
0.2%
41.75466012 31
 
0.1%
41.88807428 29
 
0.1%
41.88458627 28
 
0.1%
Other values (11463) 25945
96.8%
(Missing) 85
 
0.3%
ValueCountFrequency (%)
41.64467013 1
< 0.1%
41.64637082 2
< 0.1%
41.64863829 1
< 0.1%
41.64868838 1
< 0.1%
41.64936399 2
< 0.1%
41.64940779 1
< 0.1%
41.6495578 1
< 0.1%
41.65176176 2
< 0.1%
41.65194391 1
< 0.1%
41.65196496 1
< 0.1%
ValueCountFrequency (%)
42.02106425 2
< 0.1%
42.02086075 1
< 0.1%
42.02080848 1
< 0.1%
42.02075289 2
< 0.1%
42.02008731 2
< 0.1%
42.01986688 2
< 0.1%
42.01958216 1
< 0.1%
42.01949254 1
< 0.1%
42.01949107 2
< 0.1%
42.01948985 2
< 0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION 

Distinct11473
Distinct (%)43.0%
Missing85
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-87.676064
Minimum-87.906874
Maximum-87.525094
Zeros0
Zeros (%)0.0%
Negative26706
Negative (%)99.7%
Memory size418.6 KiB
2024-02-23T19:31:18.974236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-87.906874
5-th percentile-87.777176
Q1-87.707129
median-87.666354
Q3-87.634955
95-th percentile-87.59828
Maximum-87.525094
Range0.38178
Interquartile range (IQR)0.072173447

Descriptive statistics

Standard deviation0.05810939
Coefficient of variation (CV)-0.0006627737
Kurtosis2.1241063
Mean-87.676064
Median Absolute Deviation (MAD)0.034434956
Skewness-0.96993372
Sum-2341477
Variance0.0033767012
MonotonicityNot monotonic
2024-02-23T19:31:19.171906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.90687413 329
 
1.2%
-87.65879786 68
 
0.3%
-87.74164564 66
 
0.2%
-87.63975868 61
 
0.2%
-87.64111967 59
 
0.2%
-87.68184949 48
 
0.2%
-87.61156988 42
 
0.2%
-87.74138476 31
 
0.1%
-87.6349552 29
 
0.1%
-87.63101045 28
 
0.1%
Other values (11463) 25945
96.8%
(Missing) 85
 
0.3%
ValueCountFrequency (%)
-87.90687413 329
1.2%
-87.90675786 1
 
< 0.1%
-87.90530913 2
 
< 0.1%
-87.86302998 1
 
< 0.1%
-87.84631989 1
 
< 0.1%
-87.84567442 4
 
< 0.1%
-87.84247839 3
 
< 0.1%
-87.84108737 1
 
< 0.1%
-87.84012417 6
 
< 0.1%
-87.84003995 2
 
< 0.1%
ValueCountFrequency (%)
-87.52509414 4
< 0.1%
-87.52512485 2
< 0.1%
-87.52571243 1
 
< 0.1%
-87.5258717 2
< 0.1%
-87.5261364 3
< 0.1%
-87.52664793 2
< 0.1%
-87.52694018 1
 
< 0.1%
-87.52797024 1
 
< 0.1%
-87.53205799 1
 
< 0.1%
-87.5325565 1
 
< 0.1%
Distinct11473
Distinct (%)43.0%
Missing85
Missing (%)0.3%
Memory size418.6 KiB
2024-02-23T19:31:19.489478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length40
Median length39
Mean length39.058227
Min length34

Characters and Unicode

Total characters1043089
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4753 ?
Unique (%)17.8%

Sample

1st row(41.758991485836, -87.57905882688777)
2nd row(41.87739693703613, -87.62751493171092)
3rd row(41.970833760208265, -87.74482421972742)
4th row(41.75109660725846, -87.60968300581979)
5th row(41.930392307909585, -87.70980517549702)
ValueCountFrequency (%)
42.00875076599798 329
 
0.6%
87.90687413400109 329
 
0.6%
41.85045102427 68
 
0.1%
87.65879785567869 68
 
0.1%
41.789329323265385 66
 
0.1%
87.74164564419637 66
 
0.1%
41.88199433820508 61
 
0.1%
87.6397586848809 61
 
0.1%
41.884187507127805 59
 
0.1%
87.64111966683218 59
 
0.1%
Other values (22936) 52246
97.8%
2024-02-23T19:31:20.018504image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 108027
10.4%
7 107424
10.3%
4 98883
9.5%
1 93125
8.9%
6 90343
8.7%
9 80440
7.7%
5 73074
 
7.0%
2 70482
 
6.8%
3 69017
 
6.6%
0 65332
 
6.3%
Other values (6) 186942
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 856147
82.1%
Other Punctuation 80118
 
7.7%
Open Punctuation 26706
 
2.6%
Space Separator 26706
 
2.6%
Dash Punctuation 26706
 
2.6%
Close Punctuation 26706
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 108027
12.6%
7 107424
12.5%
4 98883
11.5%
1 93125
10.9%
6 90343
10.6%
9 80440
9.4%
5 73074
8.5%
2 70482
8.2%
3 69017
8.1%
0 65332
7.6%
Other Punctuation
ValueCountFrequency (%)
. 53412
66.7%
, 26706
33.3%
Open Punctuation
ValueCountFrequency (%)
( 26706
100.0%
Space Separator
ValueCountFrequency (%)
26706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26706
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26706
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1043089
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 108027
10.4%
7 107424
10.3%
4 98883
9.5%
1 93125
8.9%
6 90343
8.7%
9 80440
7.7%
5 73074
 
7.0%
2 70482
 
6.8%
3 69017
 
6.6%
0 65332
 
6.3%
Other values (6) 186942
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1043089
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 108027
10.4%
7 107424
10.3%
4 98883
9.5%
1 93125
8.9%
6 90343
8.7%
9 80440
7.7%
5 73074
 
7.0%
2 70482
 
6.8%
3 69017
 
6.6%
0 65332
 
6.3%
Other values (6) 186942
17.9%

Interactions

2024-02-23T19:31:07.177754image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:03.047437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:04.010975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:05.232944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:06.158768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:07.360152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:03.217118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:04.206416image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:05.404667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:06.343548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:07.563002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:03.404409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:04.646140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:05.612100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:06.560719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:07.755166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:03.614738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:04.825093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:05.781588image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:06.787202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:07.948541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:03.810108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:05.032530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:05.966482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-23T19:31:06.989443image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-02-23T19:31:20.199891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
CityInspection IDInspection TypeLatitudeLicense #LongitudeResultsRiskStateZip
City1.000-0.0020.008-0.0180.0040.0120.1140.0500.999-0.016
Inspection ID-0.0021.0000.1170.0130.429-0.0010.1240.0700.000-0.001
Inspection Type0.0080.1171.000-0.0690.2560.0510.2730.1250.000-0.009
Latitude-0.0180.013-0.0691.000-0.018-0.4230.0350.0621.0000.277
License #0.0040.4290.256-0.0181.0000.0260.0930.0570.000-0.009
Longitude0.012-0.0010.051-0.4230.0261.0000.0310.0441.000-0.404
Results0.1140.1240.2730.0350.0930.0311.0000.1210.000-0.008
Risk0.0500.0700.1250.0620.0570.0440.1211.0000.0000.004
State0.9990.0000.0001.0000.0001.0000.0000.0001.000-0.015
Zip-0.016-0.001-0.0090.277-0.009-0.404-0.0080.004-0.0151.000

Missing values

2024-02-23T19:31:08.288822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-23T19:31:08.754519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-02-23T19:31:09.209611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
777962486228KIDS ARE US LEARNING ACADEMY INC.KIDS ARE US LEARNING ACADEMY2328523.0Daycare Above and Under 2 YearsRisk 1 (High)7457 S BENNETT AVECHICAGOIL60649.002/02/2021CanvassPass w/ Conditions3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: NO COMPLETE EMPLOYEE HEALTH POLICY ON PREMISES AS REQUIRED; MUST PROVIDE AND MAINTAIN THE POLICY WITH THE SIGNATURE OF THE EMPLOYEES. PRIORITY FOUNDATION VIOLATION 7-38-012(A); NO CITATION ISSUED. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: THE WALLS AROUND THE COOKING EQUIPMENT AND SINK IN THE FOOD PREP AREA NEEDS TO BE CLEANED. THE INTERIOR OF THE FLOOR DRAINS NEEDS TO BE CLEANED. INSTUCTED TO CLEAN AND MAINTAIN THE WALLS AND FLOOR DRAINS THROUGHOUT.41.758991-87.579059(41.758991485836, -87.57905882688777)
262816112401DUNKIN DONUTSDUNKIN DONUTS1718249.0RestaurantRisk 2 (Medium)333 S STATE STCHICAGOIL60604.005/03/2010ComplaintPass34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. Found floors not swept at front preparation areas. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: Cleaning equipment shall be properly stored away from food, utensils, equipment, and clean linens. Found some cleaning equipment not properly stored.(mop and broom)41.877397-87.627515(41.87739693703613, -87.62751493171092)
1140432200438MINI PALAPITA INC.MINI PALAPITA2517205.0RestaurantRisk 1 (High)4968 N ELSTON AVECHICAGOIL60630.008/02/2018Complaint Re-InspectionPass w/ Conditions3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: NO EMPLOYEE HEALTH POLICY IN PLACE. INSTRUCTED MANAGER TO PROVIDE DOCUMENTATION THAT ALL FOOD EMPLOYEES ARE INFORMED OF THEIR RESPONSIBILITY TO REPORT ANY DISEASE TRANSMISSIBLE THROUGH FOOD. PRIORITY FOUNDATION VIOLATION 7-38-012A,NO CITATION ISSUED. | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: NO CLEAN UP POLICY FOR VOMITING AND DIARRHEAL EVENTS. INSTRUCTED MANAGER TO PROVIDE. PRIORITY FOUNDATION VIOLATION 7-38-005,NO CITATION ISSUED. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED TORN GASKETS AT THE REAR 2 DOOR STAND-UP COOLER ACROSS FROM THE FOOD PREP TABLE.INSTRUCTED TO REPLACE GASKETS AND MAINTAIN. - | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED USE OF GROCERY STORAGE BAGS TO STORE FOOD(BREAD FOR TORTAS). INSTRUCTED TO USE FOOD GRADE BAGS/CONTAINERS FOR PROPER STORAGE AND MAINTAIN. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: NO ALLERGEN TRAINING/CERTIFICATE AVAILABLE ON SITE.INSTRUCTED TO OBTAIN AND MAINTAIN.PRIORITY FOUNDATION VIOLATION, NO CITATION ISSUED. -41.970834-87.744824(41.970833760208265, -87.74482421972742)
5188225679132015 SEE THRU CHINESE KITCHEN2015 SEE THRU CHINESE KITCHEN2463164.0RestaurantRisk 1 (High)609 E 79TH STCHICAGOIL60619.012/01/2022Complaint Re-InspectionPass37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: 3-302.12 OBSERVED SALT AND MSG CONTAINERS WITH NO LABEL. INSTRUCTED MANAGER TO LABEL ALL FOOD CONTAINERS WITH COMMON NAME. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: 4-202.16 OBSERVED PLASTIC SHOPPING BAGS BEING USED TO STORE FOOD. INSTRUCTED TO OBTAIN AND USE FOOD GRADE BAGS ONLY FOR STORING FOOD. OBSERVED ALUMINUM FOIL BEING USED AS SHELVING. INSTRUCTED MANAGER TO REMOVE FOIL FROM SHELVING | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-601.11(C) OBSERVED ACCUMULATED FOOD AND GREASE DEBRIS INSIDE OF THE FRYERS AND AROUND THE WOK STATION. INSTRUCTED TO CLEAN AND SANITIZE.41.751097-87.609683(41.75109660725846, -87.60968300581979)
31306413404CAFE CON LECHE D' NOCHECAFE CON LECHE & D' NOCHE2013426.0RestaurantRisk 1 (High)2710-2714 N MILWAUKEE AVECHICAGOIL60647.009/14/2010Task Force Liquor 1475PassNaN41.930392-87.709805(41.930392307909585, -87.70980517549702)
1070122268807PALETERIA Y NEVERIA FRUTA LOCA,INCPALETERIA Y NEVERIA FRUTA LOCA,INC.2528722.0RestaurantRisk 1 (High)5456 W FULLERTON AVECHICAGOIL60639.002/26/2019CanvassOut of BusinessNaN41.924123-87.763390(41.92412328275852, -87.76339011363099)
612122555944JIMMY JOHN'SJIMMY JOHN'S2419389.0RestaurantRisk 1 (High)6108 N WESTERN AVECHICAGOIL60659.005/17/2022CanvassPass57. ALL FOOD EMPLOYEES HAVE FOOD HANDLER TRAINING - Comments: OBSERVED EMPLOYEES EXPIRED FOOD HANDLER CERTIFICATES. INSTRUCTED TO RENEW FOOD HANDLER CERTIFICATIONS. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED CERTIFIED FOOD MANAGER WITH EXPIRED ALLERGEN CERTIFICATION. INSTRUCTED TO RENEW ALLERGEN CERTIFICATION AND MAINTAIN.41.992587-87.689862(41.99258748774938, -87.6898621543762)
1596801632683MIDDLE EAST BAKERY & GROCERYMIDDLE EAST BAKERY & GROCERY57451.0RestaurantRisk 1 (High)1512 W FOSTER AVECHICAGOIL60640.003/04/2016CanvassPass w/ Conditions28. * INSPECTION REPORT SUMMARY DISPLAYED AND VISIBLE TO ALL CUSTOMERS - Comments: FOUND NO PREVIOUS SUMMARY REPORT POSTED ON SITE FROM REPORT #1537294 DATED 4/24/15. INSTRUCTED MANAGER THAT SUMMARY REPORT MUST BE DISPLAYED/POSTED ON SITE FOR THE CUSTOMER. SERIOUS VIOLATION 7-42-010(B). NEW SUMMARY REPORT PROVIDED TO POST. | 30. FOOD IN ORIGINAL CONTAINER, PROPERLY LABELED: CUSTOMER ADVISORY POSTED AS NEEDED - Comments: ALL FOOD CONTAINERS WITH POTENTIALLY HAZARDOUS FOODS INSIDE THE WALK IN COLER MUST HAVE A LABEL AND DATE. | 31. CLEAN MULTI-USE UTENSILS AND SINGLE SERVICE ARTICLES PROPERLY STORED: NO REUSE OF SINGLE SERVICE ARTICLES - Comments: ALL CLEAN UTENSILS, FOOD CONTAINERS, POTS,PANS,TRAYS,ETC . MUST BE STORED UPSIDE DOWN/INVERTED TO PREVENT POSSIBLE CONTAMINATION AND DUST BUILD-UP. | 32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: FOUND GROCERY BAGS BEING USED TO COVER ALL FOOD CONTAINERS INSIDE THE WALK IN COOLER. INSTRUCTED TO REPLACE ALL GROCERY BAGS WITH FOOD GRADE BAGS CAULK AROUND THE MOP SINK WORN OUT. MUST RE CAULK AND MAINTAIN. RUBBER GASKET ALONG THE DOOR OF THE 3 DOOR REACH IN COOLER IN THE GROCERY SECTION,RIPPED OFF. MUST REPAIR AND MAINTAIN. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: MUST CLEAN IN DETAIL,REMOVE STAINED ON THE FLOOR INSIDE THE WALK IN COOLER AND MAINTAIN. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: SEAL GAP AROUND THE PIPE ABOVE THE HOOD AND BETWEEN CEILING AND WALLS IN THE BAKERY PREP AREA AND MAINTAIN SEAL THE GAP AROUND THE PIPE ABOVE THE DRAIN BOARD OF THE 3 COMPARTMENT SINK IN THE DISH WASHING AREA 1ST FLOOR AND MAINTAIN. | 45. FOOD HANDLER REQUIREMENTS MET - Comments: NO FOOD HANDLERS CERTIFICATE AVAILABLE AT THIS TIME. MUST PROVIDE NEXT ROUTINE INSPECTION.41.976291-87.668977(41.97629123440587, -87.66897680929686)
445452574217PIEROGI CRIBPIEROGI CRIB2590155.0RestaurantRisk 1 (High)131 N CLINTON STCHICAGOIL60661.004/13/2023CanvassOut of BusinessNaN41.884188-87.641120(41.884187507127805, -87.64111966683218)
1655631589065POTBELLY SANDWICH WORKS LLCPOTBELLY SANDWICH WORKS1275490.0RestaurantRisk 1 (High)55 W MONROE STCHICAGOIL60603.012/01/2015CanvassFail18. NO EVIDENCE OF RODENT OR INSECT OUTER OPENINGS PROTECTED/RODENT PROOFED, A WRITTEN LOG SHALL BE MAINTAINED AVAILABLE TO THE INSPECTORS - Comments: OBSERVED 40-50 LIVE ANTS CRAWLING ON THE FLOOR AT THE END OF THE EAST PREP LINE NEAR THE DISH ROOM DOOR BETWEEN THE 1 DOOR PREP COOLER AND WALL. INSTRUCTED TO PROVIDE ADDITIONAL PEST CONTROL TO ELIMINATE THE ANT ACTIVITY. SERIOUS VIOLKATION 7-38-020 | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: OBSERVED THE FLOOR UNDER AND BEHIND EQUIPMENT WITH ACCUMULATED FOOD DEBRIS AND TRASH. INSTRUCTED TO CLEAN AND MAINTAIN THE FLOORS.41.880599-87.629907(41.880598955013355, -87.62990739051766)
Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
640722552243TURBO TACOS, INC.TURBO TACOS, INC.2298489.0RestaurantRisk 1 (High)2050 N MILWAUKEE AVECHICAGOIL60647.002/22/2022CanvassOut of BusinessNaN41.918512-87.690394(41.918511662405635, -87.69039442990709)
1129602229270MURASAKIMURASAKI1243198.0RestaurantRisk 1 (High)211 E ONTARIO STCHICAGOIL60611.010/02/2018CanvassPass w/ Conditions3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: 2-102.14 (A) (A)- OBSERVED NO EMPLOYEE HEALTH POLICY ON SITE. INSTRUCTED FACILITY TO COMPLY AND MAINTAIN. PRIORITY FOUNDATION VIOLATION 7-38-012(A). NO CITATION ISSUED. | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: 2-501.11- FOUND NO PROCEDURES ON SITE FOR THE CLEAN UP OF VOMITING AND DIARRHEAL EVENTS. INSTRUCTED FACILITY TO PROVIDE AND MAINTAIN. PRIORITY FOUNDATION VIOLATION 7-38-005. NO CITATION ISSUED. | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14- OBSERVED NO HAND WASHING SIGNAGE AT HAND SINKS AT FRONT BAR. INSTRUCTED MANAGER TO PROVIDE. | 25. CONSUMER ADVISORY PROVIDED FOR RAW/UNDERCOOKED FOOD - Comments: 3-603.11 (A)- OBSERVED NO CONSUMER ADVISORY SIGNAGE POSTED IN PLAIN VIEW OF CUSTOMER. INFORMED MANAGER THAT CONSUMER ADVISORY SIGNAGE MUST BE POSTED IN PLAIN VIEW OF CUSTOMER AS WELL AS INDICATED ON MENU OF RAW/UNDER COOKED FOODS. INSTRUCTED MANAGER TO PROVIDE CONSUMER ADVISORY SIGNAGE. MAINTAIN AT ALL TIMES | 36. THERMOMETERS PROVIDED & ACCURATE - Comments: 4-302.12- OBSERVED NO TEMPERATURE MEASURING DEVICES ON SITE AT TIME OF INSPECTION. INSTRUCTED MANAGER TO PROVIDE. PRIORITY FOUNDATION VIOLATION # 7-38-005 NO CITATION ISSUED. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: 4-202.16-OBSERVED ALUMINUM FOIL AND PAPER TOWELS USED AS LINER UNDERNEATH LARGE TOASTER OVEN AND WOODEN SHELVING UNITS ABOVE MICROWAVE WAVES IN PREP AREA. INFORMED MANAGER THAT ALUMINIUM FOIL AND PAPER TOWELS CANNOT BE USED AS LINERS. INSTRUCTED MANAGER TO REMOVE AND INSTALL FOOD GRADE LINERS, IN SAID AREAS. MAINTAIN AT ALL TIMES. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: 4-101.19- OBSERVED DUCK TAPE USED AS A MEANS OF REPAIR ALONG 3 COMPARTMENT SINK BACK SPLASH AREA AND LEFT SIDE SPLASH GUARD. ALSO OBSERVED TAP USED TO ATTACH WIRE RACK ON WALL ACROSS FROM 3 COMPARTMENT SINK. INFORMED MANAGER THAT THAT TAPE CANNOT BE USED AS A MEANS OF REPAIR AND AREA MUST BE SMOOTH AND EASILY CLEANABLE. INSTRUCTED MANAGER TO REMOVE AND CAULK AREA AND ENSURE SURFACE IS SMOOTH AND EASILY CLEANABLE. | 48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: 4-302.14- OBSERVED NO CHEMICAL TEST KIT ON SITE AT TIME OF INSPECTION. INFORMED MANAGER THAT CHEMICAL TEST KIT MUST BE ON SITE TO DETERMINE PROPER CONCENTRATIONS OF SANITIZING SOLUTION. PRIORITY FOUNDATION VIOLATION #7-38-005 CITATION ISSUED. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: 5-204.15- OBSERVED SLIGHT LEAK AT DRAIN PIPE UNDERNEATH 3 COMPARTMENT SINK AT BAR. INSTRUCTED MANAGER TO REPAIR AND MAINTAIN AT ALL TIMES. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-201.16- OBSERVED RAW UNFINISHED PLASTER ALONG EDGES OF BACK SPLASH AREA OF 3 COMPARTMENT SINK. INFORMED MANAGER THAT SURFACE MUST BE SMOOTH AND EASILY CLEANABLE. INSTRUCTED MANAGER TO SEAL AREA AND ENSURE SURFACE IS SMOOTH AND EASILY CLEANABLE. MAINTAIN AT ALL TIMES. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: PA 100-0367- OBSERVED ALLERGEN AWARENESS CERTIFICATE NOT MAINTAINED. INSTRUCTED MANAGER TO OBTAIN ALLERGEN AWARENESS CERTIFICATES.41.893257-87.622350(41.89325718527649, -87.62234986002646)
417842582836SABA ITALIAN BAR & KITCHENSABA ITALIAN2359413.0RestaurantRisk 1 (High)2715-2719 N MILWAUKEE AVECHICAGOIL60647.010/04/2023CanvassPass55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED CHIPPED AND PEELING PAINT ON THE CEILING TILES IN THE FOOD PREP AREA AND DISH WASHING AREA. MANAGEMENT INSTRUCTED TO SCRAPE AND REPAINT THE AFFECTED CEILING TILES. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED THE CERTIFIED FOOD MANAGER WITHOUT AN ALLERGEN TRAINING CERTIFICATE. MANAGEMENT INSTRUCTED THAT ALL CERTIFIED FOOD MANAGERS MUST SHOW PROOF OF TRAINING.41.930605-87.709689(41.930605133145264, -87.70968936811575)
495052573194WARLORDWARLORD2846151.0RestaurantRisk 1 (High)3198 N MILWAUKEE AVECHICAGOIL60618.003/27/2023License Re-InspectionPassNaN41.939017-87.723962(41.93901689975275, -87.72396243508524)
855172386407BELLA LUNA CAFEBELLA LUNA CAFE86092.0RestaurantRisk 1 (High)731 N DEARBORN STCHICAGOIL60610.008/24/2020ComplaintPass w/ Conditions2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: OBSERVED NO EMPLOYEE HOLDING VALID CITY OF CHICAGO FOODSERVICE MANAGER CERTIFICATE ON SITE AT TIME OF INSPECTION. INSTRUCTED TO MAINTAIN AN EMPLOYEE HOLDING A VALID CITY OF CHICAGO FOODSERVICE MANAGER CERTIFICATE ON SITE AT ALL TIMES WHILE OPEN AND OPERATING. PRIORITY FOUNDATION VIOLATION 7-38-012. CITATION ISSUED. | 22. PROPER COLD HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER COLD HOLDING TEMPERATURES IN THE FOLLOWING TCS ITEMS LOCATED IN WALK-IN COOLER LOCATED IN REAR PREP AREA: CHICKEN AT 45.5F, EGGS AT 48.8F, HEAVY WHIPPING CREAM AT 46.4F, SAUSAGE AT 48.2F, AND UNCOOKED BACON AT 46.4F. MANAGEMENT VOLUNTARILY DISCARDED AND DENATURED APPROXIMATELY 50LBS OF PRODUCT VALUED AT APPROXIMATELY $1,000. INSTRUCTED MANAGEMENT TO MAINTAIN ALL TCS ITEMS AT OR BELOW 41F AT ALL TIMES. PRIORITY VIOLATION 7-38-005. CITATION ISSUED. | 33. PROPER COOLING METHODS USED; ADEQUATE EQUIPMENT FOR TEMPERATURE CONTROL - Comments: OBSERVED WALK-IN COOLER LOCATED IN REAR PREP AREA CONTAINING TCS ITEMS SUCH AS CREAM, EGGS, CHICKEN, SAUSAGE, AND UNCOOKED BACON MAINTAINING AN IMPROPER AMBIENT TEMPERATURE OF 51.8. COOLER TAGGED AND HELD FOR INSPECTION. INSTRUCTED TO REPAIR COOLER SO THAT IT IS CAPABLE OF MAINTAIN AN AMBIENT TEMPERATURE AT OR BELOW 41F. PRIORITY VIOLATION 7-38-005. CITATION ISSUED. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED MULTIPLE CUTTING BOARDS LOCATED IN REAR PREP AREA COVERED IN DEEP GROOVES AND DARK STAINS. INSTRUCTED TO REPAIR OR REPLACE AND MAINTAIN SMOOTH, CLEANABLE CUTTING SURFACES. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED TORN AND DIRTY GASKET ON DOOR OF WALK-IN COOLER LOCATED IN REAR PREP AREA. INSTRUCTED TO REPAIR OR REPLACE AND MAINTAIN IN GOOD WORKING CONDITION.41.895774-87.629611(41.89577351496085, -87.62961054088532)
1198192181238ALICE'S RESTAURANTALICE'S RESTAURANT2423885.0RestaurantRisk 1 (High)5658 W MADISON STCHICAGOIL60644.006/05/2018CanvassOut of BusinessNaN41.880320-87.767150(41.88032040691598, -87.76714962381514)
936942356036GARRETT POPCORN SHOPSGARRETT POPCORN SHOPS1991834.0RestaurantRisk 2 (Medium)625 N MICHIGAN AVECHICAGOIL60611.012/30/2019CanvassPass37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: OBSERVED LARGE, WHITE GARBAGE CAN STYLE CONTAINERS OF POPCORN THROUGHOUT BASEMENT PREP AREA WITH NO LABELS. INSTRUCTED TO LABEL ALL BULK ITEMS WITH THEIR COMMON NAME. | 48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED LARGE COPPER POTS BEING USED ADD CARAMEL AND CHEESE TO POPCORN UNABLE TO BE SUBMERGED IN 3 COMPARTMENT SINK. INSTRUCTED TO CREATE AND MAINTAIN A WRITTEN PROCEDURE FOR WASHING THESE ITEMS. | 52. SEWAGE & WASTE WATER PROPERLY DISPOSED - Comments: OBSERVED A SLIGHT LEAK COMING FROM GREASE TRAP IN SECONDARY BASEMENT KITCHEN. INSTRUCTED TO REPAIR AND MAINTAIN IN GOOD WORKING ORDER. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED A BUILD UP OF BLACK SLIME ON CAULK AROUND 3 COMPARTMENT SINK IN BASEMENT PRIMARY PREP AREA. INSTRUCTED TO REMOVE, CLEAN, SANITIZE, RE-CAULK, AND MAINTAIN FREE OF SLIME.41.893300-87.624065(41.893299544115855, -87.62406469680965)
1809741527532THE GODDARD SCHOOL CHICAGOTHE GODDARD SCHOOL CHICAGO2069436.0Daycare Combo 1586Risk 1 (High)1127 W ARMITAGE AVECHICAGOIL60614.003/05/2015CanvassOut of BusinessNaN41.917951-87.656469(41.91795127107318, -87.65646936606126)
1413401982807TAKOS KOREANOSTACOS KOREANOS2333913.0RestaurantRisk 1 (High)1706-1708 W FOSTER AVECHICAGOIL60640.002/08/2017CanvassPass30. FOOD IN ORIGINAL CONTAINER, PROPERLY LABELED: CUSTOMER ADVISORY POSTED AS NEEDED - Comments: BULK FOOD CONTAINERS MUST BE LABELED. | 32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: MUST NOT USE CARDBOARD OR TINFOIL AS LINER FOR SHELVING OR COOKS LINE EQUIPMENT. MUST INSTALL A SPLASH GUARD ON THE RIGHT SIDE OF THE KITCHEN EXPOSED HAND SINK BETWEEN THE SINK AND BULK FOOD STORAGE. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: MISSING BROKEN FLOOR TILES AT THE MOP SINK AND REAR KITCHEN STORAGE AREA. MUST REPLACE/REPAIR. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: WATER DAMAGED CEILING TILES IN THE KITCHEN MUST BE REPLACED. | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: UTILITY MOP SINK IN POOR REPAIR AND NOT MAINTAINED. OPEN HOLES IN SINK WALLS AND RAW EXPOSED WOOD. MUST REPLACE SINK, REPAIR. SEAL ALL OPENINGS. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: ALL STORED ITEMS IN THE SERVER STATION MUST BE ELEVATED FROM THE FLOORS 6' OR ABOVE. ALL ITEMS/UNUSED EQUIPMENT ON THE REAR WALKWAY MUST BE REMOVED.41.976242-87.672427(41.976242134828354, -87.6724268472438)
1427091981628BOMBAY WRAPSBOMBAY WRAPS2333632.0RestaurantRisk 1 (High)330 E OHIO STCHICAGOIL60611.001/18/2017CanvassPass30. FOOD IN ORIGINAL CONTAINER, PROPERLY LABELED: CUSTOMER ADVISORY POSTED AS NEEDED - Comments: FOOD CONTAINERS NOT LABELED, INSTRUCTED TO LABEL, DATE ALL PACKAGED YOGURT AND SALAD CONTAINER PROPERLY. | 31. CLEAN MULTI-USE UTENSILS AND SINGLE SERVICE ARTICLES PROPERLY STORED: NO REUSE OF SINGLE SERVICE ARTICLES - Comments: DISPLSABLE FOOD CONTAINER NOT STORED PROPERLY, MUST TURN UP SIDE DOWN TO PREVENT CONTAMINATION. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: MISPLACED DROP CEILING PANELS IN REAR KITCHEN. | 42. APPROPRIATE METHOD OF HANDLING OF FOOD (ICE) HAIR RESTRAINTS AND CLEAN APPAREL WORN - Comments: FOOD HANDLER WITH BEARD NOT WEARING BEARD RESTRAINTS. INSTRUCTED TO WEAR.41.892729-87.619025(41.89272874350044, -87.61902535142038)